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wfxmars's Projects

awesomenlp icon awesomenlp

此项目完成了关于 NLP-Beginner:自然语言处理入门练习 的所有任务(文本分类、信息抽取、知识图谱、机器翻译、问答系统、文本生成、Text-to-SQL、文本纠错、文本挖掘、知识蒸馏、模型加速、OCR、TTS、Prompt、embedding等),所有代码都经过测试,可以正常运行。

bert icon bert

TensorFlow code and pre-trained models for BERT

chatglm-6b icon chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

glm-130b icon glm-130b

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

graph4nlp icon graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

llama icon llama

Inference code for LLaMA models

llama-factory icon llama-factory

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

llama2-chinese icon llama2-chinese

Llama中文社区,最好的中文Llama大模型,完全开源可商用

llm icon llm

LLMs learn materials

llms_paper icon llms_paper

该仓库主要记录 LLMs 算法工程师相关的顶会论文研读笔记(多模态、PEFT、小样本QA问答、RAG、LMMs可解释性、Agents、CoT)

llmsninestorydemontower icon llmsninestorydemontower

【LLMs九层妖塔】分享 LLMs在自然语言处理(ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等)、信息检索(langchain)、语言合成、语言识别、多模态等领域(Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等)等 实战与经验。

lora icon lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

mamba icon mamba

The Fast Cross-Platform Package Manager

pyserini icon pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qasystemonmedicalkg icon qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。

read_bert_code icon read_bert_code

Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子

transferlearning icon transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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